Production of freshwater fish farming (ponds) in Kangkung Subdistrict in 2015 reached 4.42 tons or valued at 97.19 million rupiah and the condition is growing more and more. The number of fish seeds is measured conventionally by observing the senses of the eye and causing inaccurate (inaccurate) measurement results. This study offers a solution for counting fish by using a microcontroller based phototransistor technology. Phototransistor has a linear function of the received light intensity that is flowing current (ON) and if there is a condition of light intensity blocked by fish passing through it then the current does not flow (OFF). The trial results of the fish seed count tool have an accuracy of 97% so that it can be used by fish farmers.
 

Measurement results of load cell sensors sometimes has a significant difference even have the same weight, this is usually caused by several factors that affect the difference in the measured value, therefore on In this research, an analysis of the measurement results of a load will be carried out with the measuring object, namely rice, package and fruit. This analysis is carried out to determine the load which object is more efficient and accurate in do some weight calculation. The process of measuring weight using a load cell sensor is carried out based on Arduino device. After the measurement results are obtained then they are analyzed and compared between the measurement results of rice, package and fruit to determine the level of efficiency of the load cell sensor. Based on the experimental results of fruit, the measurement between the results to the real value is 4%. The measurement results of fruit have the efficiency of the load cell sensor

Remote temperature monitoring is needed in hazardous area conditions or fast data retrieval is needed without being limited by distance. This condition can be overcome by monitoring and measuring the temperature from a remote location using internet technology that is currently developing, namely the Internet of things. There are many implementations of remote temperature monitoring systems, but the measurement results of these sensors sometimes have very significant differences even for measuring the temperature of the same object. This study aims to analyze the implementation of an effective and efficient remote temperature monitoring system. The temperature measurement process uses the LM35 and MLX 90614 sensors based on Internet of things technology using the Message Queue Telemetry Transport (MQTT) protocol. After obtaining the results of temperature measurements using different sensors, the measurement results are analyzed and compared with standard temperature measuring instruments to obtain an effective and efficient implementation. Based on the analysis, the results of temperature measurements using the MLX 90614 sensor are effective and efficient sensors.

The corona virus (Covid-19) has attacked almost the entire world, including Indonesia. Places where community activities must comply with health protocols, one of which is checking human body temperature. The measurement of human body sensors is a very significant difference even though it is applied to the same human body, this is due to several factors. This research analyzes the measurement results of the human body temperature sensor. This study aims to determine an effective and efficient human body temperature sensor. The process of measuring human body temperature uses a microcontroller-based temperature sensor. After the results of temperature measurements using different temperature sensors are obtained, the measurement results are analyzed and compared to obtain an effective and efficient temperature sensor. Based on the analysis, the results of measuring human body temperature using a thermal camera are an effective and efficient sensor.